Visual extraction system for insulators on power transmission lines from UAV photographs using support vector machine an
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R E G UL A R P A P E R
Chi Zhang • Qing-wu Gong
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Ting Wang • Koji Koyamada
Visual extraction system for insulators on power transmission lines from UAV photographs using support vector machine and color models Received: 21 December 2018 / Revised: 19 March 2019 / Accepted: 9 April 2019 Ó The Visualization Society of Japan 2020
Abstract In this paper, a system is proposed for extracting insulators on power transmission lines from photographs captured by an unmanned aerial vehicle. The approximate regions of the insulators are first determined by a support vector machine with the histogram of oriented gradients as the feature descriptor. Then, the specific regions of insulators are detected and extracted by the GrabCut algorithm. In advance, some constraint conditions, such as the value ranges of color component values as well as the relationships between the component values in three color models, need to be specified. In our system, an interactive interface is developed to help determine these conditions. According to the experimental results, our system is capable of removing most of the backgrounds and extracting the insulators from photographs. Keywords Insulator extraction Visualization Support vector machine Color model Image processing Pattern recognition
1 Introduction As an important part of the maintenance of an electrical power system, the inspection of power transmission lines plays a significant role in preventing accidents and maintaining the stability of an electrical power system. With the expansion of the power grid and the increase in the number of power transmission devices, the workload required to inspect power transmission lines also continues to increase. When conventional methods are used, more human, physical, and financial resources must be devoted to manual inspection. These inspection methods also carry some negative effects. The repetitive and frequent inspection of some transmission lines with low failure rates usually makes inspectors become careless and unconcerned, which reduces the reliability of the inspection results. Meanwhile, most power transmission lines are set up in depopulated zones that are far from cities and towns. The natural and geographical environments around the transmission towers are relatively complex, which increases the difficulty and the risk of manual inspection. Thus, these conditions result in great losses to human and physical resources. C. Zhang Q. Gong (&) School of Electrical Engineering and Automation, Wuhan University, Wuhan, China E-mail: [email protected] C. Zhang E-mail: [email protected] C. Zhang T. Wang Graduate School of Engineering, Kyoto University, Kyoto, Japan K. Koyamada Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan E-mail: [email protected]
C. Zhang et al.
Recently, the development of unmanned aerial vehicles (UAVs) has made it possible to use UAVs to inspect power transmission lines. A photoelectric pod that is equipped on a UAV can be used to capture photographs
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